Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2013 Jul 16;81(3):219-27.
doi: 10.1212/WNL.0b013e31829bfe2f. Epub 2013 Jun 14.

Genetic risk variants in African Americans with multiple sclerosis

Affiliations

Genetic risk variants in African Americans with multiple sclerosis

Noriko Isobe et al. Neurology. .

Abstract

Objectives: To assess the association of established multiple sclerosis (MS) risk variants in 3,254 African Americans (1,162 cases and 2,092 controls).

Methods: Human leukocyte antigen (HLA)-DRB1, HLA-DQB1, and HLA-A alleles were typed by molecular techniques. Single nucleotide polymorphism (SNP) genotyping was conducted for 76 MS-associated SNPs and 52 ancestry informative marker SNPs selected throughout the genome. Self-declared ancestry was refined by principal component analysis of the ancestry informative marker SNPs. An ancestry-adjusted multivariate model was applied to assess genetic associations.

Results: The following major histocompatibility complex risk alleles were replicated: HLA-DRB1*15:01 (odds ratio [OR] = 2.02 [95% confidence interval: 1.54-2.63], p = 2.50e-07), HLA-DRB1*03:01 (OR = 1.58 [1.29-1.94], p = 1.11e-05), as well as HLA-DRB1*04:05 (OR = 2.35 [1.26-4.37], p = 0.007) and the African-specific risk allele of HLA-DRB1*15:03 (OR = 1.26 [1.05-1.51], p = 0.012). The protective association of HLA-A*02:01 was confirmed (OR = 0.72 [0.55-0.93], p = 0.013). None of the HLA-DQB1 alleles were associated with MS. Using a significance threshold of p < 0.01, outside the major histocompatibility complex region, 8 MS SNPs were also found to be associated with MS in African Americans.

Conclusion: MS genetic risk in African Americans only partially overlaps with that of Europeans and could explain the difference of MS prevalence between populations.

PubMed Disclaimer

Figures

Figure 1
Figure 1. MS genetic burden scores in the 1000 Genomes Project population
Based on the 8 non-MHC MS SNPs for which the association with MS were replicated in African Americans (p < 0.01), aggregation of those SNPs was computed for individuals in the 1000 Genomes Project dataset, as previously described. Luhya in Webuye, Kenya, and Yoruba in Ibadan, Nigeria, are combined as “African”; Han Chinese in Beijing, China, Han Chinese South, and Japanese in Tokyo, Japan, are combined as “Asian”; Colombian in Medellin, Colombia, Mexican Ancestry in Los Angeles, CA, and Puerto Rican in Puerto Rico are combined as “Hispanic”; and Toscani in Italy, Iberian populations in Spain, Finnish from Finland, British from England and Scotland, and Northern and Western Europeans from Utah are combined as “European.” Additionally, genetic burden scores of our case-control dataset in AA and WA are included. A worldwide gradient of genetic burden scores was seen, matching MS prevalence in the world. Patients were more loaded than controls in both AA and WA. The p values at the top of the figure indicate the statistical significance of comparisons in groups next to each other (Wilcoxon rank sum test). The p value at the middle, bottom was calculated by Kruskal-Wallis test. Uncorrected p values are shown. AA = African Americans; ASW = African ancestry from southwest United States; K-W = Kruskal-Wallis test; MHC = major histocompatibility complex; MS = multiple sclerosis; SNP = single nucleotide polymorphism; WA = white Americans.

Similar articles

Cited by

References

    1. Wellcome Trust Case Control Consortium Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature 2007;447:661–678 - PMC - PubMed
    1. Hafler DA, Compston A, Sawcer S, et al. Risk alleles for multiple sclerosis identified by a genomewide study. N Engl J Med 2007;357:851–862 - PubMed
    1. Comabella M, Craig DW, Camina-Tato M, et al. Identification of a novel risk locus for multiple sclerosis at 13q31.3 by a pooled genome-wide scan of 500,000 single nucleotide polymorphisms. PLoS One 2008;3:e3490. - PMC - PubMed
    1. Baranzini SE, Wang J, Gibson RA, et al. Genome-wide association analysis of susceptibility and clinical phenotype in multiple sclerosis. Hum Mol Genet 2009;18:767–778 - PMC - PubMed
    1. Australia and New Zealand Multiple Sclerosis Genetics Consortium (ANZgene) Genome-wide association study identifies new multiple sclerosis susceptibility loci on chromosomes 12 and 20. Nat Genet 2009;41:824–828 - PubMed

Publication types